Integrates the work of 18 leading scholars to focus on two complex interdependencies - one pertaining to natural resources and human welfare, the other to urban and rural communities and their economies. This book explores the politics of place spatial economics, and prospects for linking rural and environmental governance.
Integrates the work of 18 leading scholars to focus on two complex interdependencies - one pertaining to natural resources and human welfare, the othe...
Most land in the United States is in rural areas, as are the sources of most of its fresh water and almost all its other natural resources. This book focuses on two complex interdependencies - one pertaining to natural resources and human welfare, the other to urban and rural communities and their economies.
Most land in the United States is in rural areas, as are the sources of most of its fresh water and almost all its other natural resources. This book ...
The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of 'big data', detailing a theoretical framework for aggregating and validating clusters with K-means.
The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricaci...
What do economists know about land-and how they know? The Oxford Handbook of Land Economics describes the latest developments in the fields of economics that examine land, including natural resource economics, environmental economics, regional science, and urban economics. The handbook argues, first, that land is a theme that integrates these fields and second, that productive integration increasingly occurs not just within economics but also across disciplines. Greater recognition and integration stimulates cross-fertilization among the fields of land economics research. By providing a...
What do economists know about land-and how they know? The Oxford Handbook of Land Economics describes the latest developments in the fields of economi...
This book constitutes the refereed proceedings of the 10th Annual Conference on Advanced Computer Architecture, ACA 2014, held in Shenyang, China, in August 2014. The 19 revised full papers presented were carefully reviewed and selected from 115 submissions. The papers are organized in topical sections on processors and circuits; high performance computing; GPUs and accelerators; cloud and data centers; energy and reliability; intelligence computing and mobile computing.
This book constitutes the refereed proceedings of the 10th Annual Conference on Advanced Computer Architecture, ACA 2014, held in Shenyang, China, in ...
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the...
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated ...
This book constitutes the refereed proceedings of the 11th Annual Conference on Advanced Computer Architecture, ACA 2016, held in Weihai, China, in August 2016.
The 17 revised full papers presented were carefully reviewed and selected from 89 submissions. The papers address issues such as processors and circuits; high performance computing; GPUs and accelerators; cloud and data centers; energy and reliability; intelligence computing and mobile computing.
This book constitutes the refereed proceedings of the 11th Annual Conference on Advanced Computer Architecture, ACA 2016, held in Weihai, China, in...